To accommodate heterogeneous transmission conditions in a streaming scenario several multi-rate multicast solutions have been proposed, based on simulcasting or hierarchical layer...
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
—Detecting anomalies during the operation of a network is an important aspect of network management and security. Recent development of high-performance embedded processing syste...